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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 17843
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    Explanations

    Roman numerals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the sequence "ii" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lain
    -0.93
    lins
    -0.74
    boards
    -0.73
    insula
    -0.69
    rant
    -0.68
    argon
    -0.66
     convict
    -0.64
    rooms
    -0.63
    story
    -0.63
    storm
    -0.61
    POSITIVE LOGITS
    iii
    1.26
    ii
    1.22
    FY
    0.91
    II
    0.86
    ñ
    0.79
    ye
    0.78
    htt
    0.75
    III
    0.75
    ibo
    0.73
    Vi
    0.72
    Activations Density 0.014%

    No Known Activations